Weather forecasts have greatly improved over recent decades, yet errors remain. We studied how people judge different types of forecast errors using two short surveys. People rated errors differently depending on their consequences, with forecasts that underestimated the intensity and persistence of events judged most negatively. These findings show what forecast users value and contribute to the development of verification methods that better reflect public needs.